COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
A sequential algorithm for training text classifiers
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Selective Sampling Using the Query by Committee Algorithm
Machine Learning
Age classification from facial images
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Support vector machine active learning with applications to text classification
The Journal of Machine Learning Research
Robust Real-Time Face Detection
International Journal of Computer Vision
Probability Estimates for Multi-class Classification by Pairwise Coupling
The Journal of Machine Learning Research
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
MORPH: A Longitudinal Image Database of Normal Adult Age-Progression
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Modeling Age Progression in Young Faces
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Modeling Age Progression in Young Faces
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Learning from facial aging patterns for automatic age estimation
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
A note on Platt's probabilistic outputs for support vector machines
Machine Learning
Computational methods for modeling facial aging: A survey
Journal of Visual Languages and Computing
2D-LDA: A statistical linear discriminant analysis for image matrix
Pattern Recognition Letters
Human Age Estimation With Regression on Discriminative Aging Manifold
IEEE Transactions on Multimedia
Comparing different classifiers for automatic age estimation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Incremental linear discriminant analysis for classification of data streams
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Providing training data for facial age estimation is very expensive in terms of age progress, privacy, human time and effort. In this paper, we present a novel active learning approach based on an online Two-Dimension Linear Discriminant Analysis for learning to quickly reach high performance but with minimal labeling effort. The proposed approach uses the classifier learnt from the small pool of labeled faces to select the most informative samples from the unlabeled set to increasingly improve the classifier. Specifically, we propose a novel data selection of the Furthest Nearest Neighbour (FNN) that generalizes the margin-based uncertainty to the multi-class case and which is easy to compute so that the proposed active learning can handle a large number of classes and large data sizes efficiently. Empirical experiments on FG-NET, Morph databases and a large unlabeled data set show that the proposed approach can achieve similar results using fewer samples than random selection.